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浏览/检索结果: 共9条,第1-9条 帮助

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An enhancement of task scheduling in cloud computing based on imperialist competitive algorithm and firefly algorithm 期刊论文  OAI收割
JOURNAL OF SUPERCOMPUTING, 2020, 卷号: 76, 期号: 8, 页码: 6302-6329
作者:  
Kashikolaei, Seyedeh Monireh Ggasemnezhad;  Hosseinabadi, Ali Asghar Rahmani;  Saemi, Behzad;  Shareh, Morteza Babazadeh;  Sangaiah, Arun Kumar
  |  收藏  |  浏览/下载:29/0  |  提交时间:2020/08/21
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm 期刊论文  OAI收割
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2019, 卷号: 247, 页码: 712-729
作者:  
Wang, Yi;  Hong, Haoyuan;  Chen, Wei;  Li, Shaojun;  Panahi, Mahdi
  |  收藏  |  浏览/下载:19/0  |  提交时间:2020/04/08
Incoherent beam combining based on imperialist competitive algorithm 期刊论文  OAI收割
Optik, 2018, 卷号: 168, 页码: 2019-01-09
作者:  
Song, J. K.;  Yang, G. Q.;  Li, Y. Y.;  Wang, T. F.
  |  收藏  |  浏览/下载:24/0  |  提交时间:2019/09/17
Randomized oblivious integral routing for minimizing power cost 期刊论文  OAI收割
THEORETICAL COMPUTER SCIENCE, 2015, 卷号: 607, 页码: 221-246
作者:  
Shi, Yangguang;  Zhang, Fa;  Wu, Jie;  Liu, Zhiyong
  |  收藏  |  浏览/下载:27/0  |  提交时间:2019/12/13
A novel algorithm for action landmarks extraction (EI CONFERENCE) 会议论文  OAI收割
2012 2nd International Conference on Advanced Materials and Computer Science, ICAMCS 2012, December 27, 2012 - December 28, 2012, Xiamen, China
作者:  
Zhao J.
收藏  |  浏览/下载:15/0  |  提交时间:2013/03/25
TextureGrow: Object recognition and segmentation with limit prior knowledge (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Network Computing and Information Security, NCIS 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China
Yao Z.; Han Q.
收藏  |  浏览/下载:29/0  |  提交时间:2013/03/25
In this paper we present a new method for automatically visual recognition and semantic segmentation of photographs. Our automatically and rapidly approach based on Cellular Automation. Most of the analysis and description of recognition and segmentation are based on statistical or structural properties of this attribute  most of them need plenty of samples and prior Knowledge. In this paper  within a few evident samples (not too many)  we can first get the texture feature of each component and the structures  then select the approximately location randomly of the objects or patches of them  then we use the Cellular Automata algorithm to "grow" based on texture of different objects. The grow progress will stop When texture grow to the boundary. By this steps a new method is found which allow us use very few samples and low lever experience and get a rapidly and accuracy way to recognize and segment objects. We found that this new propose gives competitive results with limited experience and samples. 2011 IEEE.  
A comparative study of discrete differential evolution on binary constraint satisfaction problems (EI CONFERENCE) 会议论文  OAI收割
2008 IEEE Congress on Evolutionary Computation, CEC 2008, June 1, 2008 - June 6, 2008, Hong Kong, China
Yang Q.
收藏  |  浏览/下载:65/0  |  提交时间:2013/03/25
Multicast routing, load balancing, and wavelength assignment on tree of rings 期刊论文  OAI收割
IEEE COMMUNICATIONS LETTERS, 2002, 卷号: 6, 期号: 2, 页码: 79-81
作者:  
Jia, XH;  Hu, XD;  Ruan, L;  Sun, JH
  |  收藏  |  浏览/下载:23/0  |  提交时间:2018/07/30
two online algorithms for the ambulance systems 期刊论文  OAI收割
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2001, 卷号: 16, 期号: 2, 页码: 176-181
Sui YF
  |  收藏  |  浏览/下载:17/0  |  提交时间:2011/07/29